Blar i Institutt for kjemisk prosessteknologi på forfatter "Jaeschke, Johannes"
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Fast Economic Model Predictive Control for a Gas Lifted Well Network
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes (Journal article; Peer reviewed, 2018)This paper considers the optimal operation of an oil and gas production network by formulating it as an economic nonlinear model predictive control (NMPC) problem. Solving the associated nonlinear program (NLP) can be ... -
Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System
Verheyleweghen, Adriaen; Jaeschke, Johannes (Journal article, 2017)The efficient and safe operation of subsea gas and oil production systems sets strict requirements to equipment reliability to avoid unplanned breakdowns and costly maintenance interventions. Because of this, condition ... -
Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs
Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I. (Journal article; Peer reviewed, 2018)Local sensitivity information is obtained for KKT points of parametric NLPs that may exhibit active set changes under parametric perturbations; under appropriate regularity conditions, computationally relevant generalized ... -
Modifier adaptation for real-time optimization of a gas lifted well network
Matias, José O.A.; Le Roux, Galo AC; Jaeschke, Johannes (Journal article; Peer reviewed, 2018)This work studies the steady-state optimization of a Gas Lift Oil Well Network. The optimization approach used is based on the methodology proposed by (Gao et al., 2016), which is a Modifier Adaptation (MA) with gradient ...